Associate - Quantitative Research

Business Overview:

ALM Treasury (Asset & Liabilities Management & Treasury), a transversal activity throughout the BNP Paribas Group, is responsible for managing the liquidity, interest rate and foreign exchange risks of the Bank’s balance sheet. ALM Treasury comprises a large team at its head office in Paris and local teams present in the Group’s branches and subsidiaries in France and abroad.

ALM Treasury has three operational responsibilities and two prudential mandates.

The three operational responsibilities are:

• The management of the Group's liquidity position, both in business-as-usual conditions and in crisis situations
• The management of the interest rate risks in the banking book
• The management of operational and structural foreign exchange risks, linked to the financing of the investments in foreign currencies and the sell down of the results in foreign currencies

The prudential mandate refers to the liquidity risks linked to the Group’s profile and geographical presence. It consists in assessing the liquidity risks and protecting the Group’s signature.

Candidate Success Factors:

Candidates are measured on the following four performance drivers, which will dictate how individual impact is considered on the Americas platform:

• Results and Impact
  • Able to influence peers and team.
  • Demonstrates good judgement when making decisions of high complexity and impact.
  • Exercise appropriate autonomy in the execution and delivery of work.
  • Responsible for driving outcomes, which have meaningful effect on team or department.
• Leadership and Collaboration:
  • Creates trust with colleagues.
  • Acts in leadership capacity for projects, processes, or programs.
• Client, Customer and Stakeholder Focus:
  • Able to build relationships with a mix of colleagues and clients.
  • Interacts regularly with management and department leaders.
  • Demonstrates the ability to influence stakeholders at the team level.
• Compliance Culture and Conduct:
  • Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts.
  • Perceived as a person of high moral character; upholds corporate values and displays high ethical standards.

Job Purpose:

Within ALM Treasury Markets, the ALMT QR team has been tasked with strengthening the department’s Pricing, Risk Management and P&L Explain capabilities. This project will leverage on the platform developed within Global Markets while integrating ALM-T specific features to provide ALM Treasurers with a comprehensive pricing, risk and P&L Explain setup.

The ALMT QR, Associate role, focuses on the management, development, delivery, maintenance and support of cross-asset analytics software libraries. The roleholder will deliver designated tasks and activities accurately, within the required time frame and in accordance with defined processes. The roleholder will seek supervision as required.

Responsibilities:

• A fully competent and experienced professional accountable for the delivery of often complex but routine activities within the team.

• Develops and adapts various model improvements around their accuracy or performance, such as the IRFX curve methodologies construction.

• Exercises judgement and applies knowledge to areas of improvement within the research process.

• Can operate autonomously, with the responsibility to report and escalate to line management where necessary.

• Designs and implements new pricing, risk management tools and methodologies, and improves the existing tools, processes and methodologies.

• Assists more senior members of the QR team with maintaining and enhancing pricing analytics, improving interfaces, optimising code and following the team’s best practice. For example:

1. Develops, tests, delivers and supports tools based on analytics libraries
2. Develops and implements analytic tools to calculate the various pricing analytics for Swaps, Govies, Xccy Swaps, FxSwaps.
3. Supports the team on pricing all related requests
4. Develops risks management tools
5. Develops tools for the ALMT treasury desks
6. Contributes to the development of the team analytics library.
7. Assists the Bank in adapting to new regulations and capital charges by providing ideas or tools to estimate their impacts.

• Requires a strong and permanent cooperation with other quantitative developers and analysts, as well as with the trading/treasury desks and the IT divisions to ensure all quant developments integrate optimally with the IT ecosystem, thereby ensuring the best deliveries to the business.

• Contributes to project planning and tracking by being engaged in the planning process, and updating project stakeholders including senior Quants, Front Officers, ALMT Steering officers, ALMTCOO & IT. Using the appropriate tools such as Jira.

• Maintains open communication with the team and direct line management. In addition, as appropriate, liaises with internal risk functions: Legal, Compliance, Market and Credit Risk Management.

• Able to work independently within the New York office while reporting to team head, located in Paris.

Minimum Required Qualifications:

• Professional qualification in mathematics, statistics, physics, engineering or finance / econometrics or a PhD in another Science or engineering field, with an interest in finance modelling is required with some additional experience where relevant. Qualification through extensive experience in a relevant technical area is acceptable.

• Detailed knowledge of quantitative finance and options (knowledge of stochastic calculus and structured/exotic derivatives is advantageous but not required).

• Good working knowledge of a wide range of BNPP policies, procedures, regulations and legislation.

• Displays dedication & prioritises problems by considering the impact on the business; identifies quick-wins.

• Excellent business relationship management and development skills.

• Effective communicator who can align people to the broader vision of the business both internally and externally.

• Computer literacy and a good understanding of a range of standard computer software, e.g. Microsoft PowerPoint, Excel and word.

• Strong programming and coding knowledge, ideally knowledge of Ada, C, C++, C# languages and/or Python with a good understanding of what is required to write code which is both easy to test and debug and also achieves good computational performance.